A real-time video fire flame and smoke detection algorithm

Abstract

Real-time video fire flame and smoke detection method based on foreground image accumulation and optical flow technique is presented. Accumulation images are calculated of the foreground images which are extracted using frame differential method. Two parameters are used for the foreground image accumulation to differentiate flame candidate areas from that of smoke. The flame regions are recognized by a statistical model build by foreground accumulation image, while the optical flow is calculated and a motion feature discriminating model to recognize smoke regions is used. The algorithm could realize the real-time fire detection of the following three detection cases: fire with flame and none smoke, fire with smoke and none flame, and fire with both flame and smoke. © 2013 International Association for Fire Safety Science.